Title :
Chaos theory in technology forecasting
Author :
Wang, Clement ; Liu, Xuanrui ; Xu, Daoling
Author_Institution :
Dept. of Bus. Policy, Nat. Univ. of Singapore, Singapore
Abstract :
The authors describe how chaos theory can be used in technological forecasting. The paper proposes that technology evolutions be regarded as a nonlinear process exhibiting bifurcation, transient chaos and order state. It also examines the utility of this approach by introducing artificial neural networks and drawing implications for managerial decision making needs
Keywords :
bifurcation; chaos; research and development management; technological forecasting; R&D; artificial neural networks; bifurcation; chaos theory; managerial decision making needs; nonlinear process; order state; technology evolutions; technology forecasting; transient chaos; Artificial neural networks; Bifurcation; Chaos; Decision making; High performance computing; Joining processes; Paper technology; Profitability; Technological innovation; Technology forecasting;
Conference_Titel :
Management of Engineering and Technology, 1999. Technology and Innovation Management. PICMET '99. Portland International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
1-890843-02-4
DOI :
10.1109/PICMET.1999.787827
